한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)
- 한국정보처리학회 2019년도 추계학술발표대회
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- Pages.1002-1003
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- 2019
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
얼굴인식을 위한 다중입력 CNN의 기본 구현
Basic Implementation of Multi Input CNN for Face Recognition
- Cheema, Usman (Dept. of Computer Engineering, Sejong University) ;
- Moon, Seungbin (Dept. of Computer Engineering, Sejong University)
- 발행 : 2019.10.30
초록
Face recognition is an extensively researched area of computer vision. Visible, infrared, thermal, and 3D modalities have been used against various challenges of face recognition such as illumination, pose, expression, partial information, and disguise. In this paper we present a multi-modal approach to face recognition using convolutional neural networks. We use visible and thermal face images as two separate inputs to a multi-input deep learning network for face recognition. The experiments are performed on IRIS visible and thermal face database and high face verification rates are achieved.
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